Comparative Analysis of Adaptive Filters for Predicting Wind-Power Generation (SLMS, NLMS, SGDLMS, WLMS, RLMS). - Ashima Arora; Rajesh Wadhvani (ISDA, 2017)

Dynamic selection of normalization techniques using data complexity measures. - Sukirty Jain; Sanyam Shukla; Rajesh Wadhvani (Expert Syst. Appl., 2018)

An analysis of "A feature reduced intrusion detection system using ANN classifier" by Akashdeep et al. expert systems with applications (2017). - Trupti Chandak; Sanyam Shukla; Rajesh Wadhvani (Expert Syst. Appl., 2019)

Solar Irradiance Forecasting Based on Deep Learning Methodologies and Multi-Site Data. - Banalaxmi Brahma; Rajesh Wadhvani (Symmetry, 2020)

Selective Review on Adaptive Normalization Techniques. - Vivek Panday; Rajesh Wadhvani; Manasi Gyanchandani (WINS, 2022)

Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data. - Muktesh Gupta; Rajesh Wadhvani; Akhtar Rasool (Expert Syst. Appl., 2022)

Visualizing solar irradiance data in ArcGIS and forecasting based on a novel deep neural network mechanism. - Banalaxmi Brahma; Rajesh Wadhvani (Multim. Tools Appl., 2022)

Trend triplet based data clustering for eliminating nonlinear trend components of wind time series to improve the performance of statistical forecasting models. - Anil Kumar Kushwah; Rajesh Wadhvani (Multim. Tools Appl., 2022)

ECG Based Heart Disease Classification: Advancement and Review of Techniques. - Akshita Gour; Muktesh Gupta; Rajesh Wadhvani; Sanyam Shukla (ICMLDE, 2023)

A real-time adaptive model for bearing fault classification and remaining useful life estimation using deep neural network. - Muktesh Gupta; Rajesh Wadhvani; Akhtar Rasool (Knowl. Based Syst., 2023)

Data complexity-based dynamic ensembling of SVMs in classification. - Sowkarthika B.; Manasi Gyanchandani; Rajesh Wadhvani; Sanyam Shukla (Expert Syst. Appl., 2023)

A residual ensemble learning approach for solar irradiance forecasting. - Banalaxmi Brahma; Rajesh Wadhvani (Multim. Tools Appl., 2023)

Comprehensive ECG Signal Analysis for Heart Disease Classification: Integrating Neural Networks with Random Forest. - Akshita Gour; Rajesh Wadhvani; Muktesh Gupta (ICCCNT, 2024)

Comprehensive analysis of change-point dynamics detection in time series data: A review. - Muktesh Gupta; Rajesh Wadhvani; Akhtar Rasool (Expert Syst. Appl., 2024)

Multistage traffic sign recognition under harsh environment. - Manali Chandnani; Sanyam Shukla; Rajesh Wadhvani (Multim. Tools Appl., 2024)

Deep learning-based real-time diagnosis of cardiac diseases through behavioral changes in ECG signals. - Muktesh Gupta; Rajesh Wadhvani; Akhtar Rasool (Biomed. Signal Process. Control., 2025)

Data complexity measures for classification of a multi-concept dataset. - Sowkarthika B.; Manasi Gyanchandani; Rajesh Wadhvani; Sanyam Shukla (Multim. Tools Appl., 2025)

Enhance differential privacy mechanisms for clinical data analysis using CNNs and reinforcement learning. - Rakesh Batchala; Priyank Jain; Manasi Gyanchandani; Sanyam Shukla; Rajesh Wadhvani (J. Big Data, 2025)